Machine learning with Python- LIVE VIRTUAL
Course
Online
Learn a new coding language!
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
50h
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Duration
Flexible
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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Virtual classes
Yes
With so many opportunities on the horizon, a career as a Machine Learning Engineer can be both satisfying and rewarding. A good workshop, such as the one offered by KnowledgeHut, can lead you on the right path towards becoming a machine learning expert.So what is Machine Learning? Machine learning is an application of Artificial Intelligence which trains computers and machines to predict outcomes based on examples and previous experiences, without the need of explicit programming.
Facilities
Location
Start date
Start date
About this course
1. Statistical Learning
2. Python for Machine Learning
3. Fundamentals of Machine Learning
4. Optimization Techniques
5. Machine Learning Algorithms
6. Dimensionality Reduction
7. Neural Networks
8. Ensemble Learning
1. if you are interested in the field of machine learning and want to learn essential machine learning algorithms and implement them in real life business problem if you are a software or data engineer interested in learning the fundamentals of quantitative analysis and machine learning
For Machine Learning, it is important to have sufficient knowledge of at least one coding language. Python being a minimalistic and intuitive coding language becomes a perfect choice for beginners.
An Expert from Knowledgehut will take it forward.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Statistics
- Performance
- Probability
- Python
- Learning
- Data
- Machine
- Hypothesis
- Visualization
- Exploratory
- Theorem
- Scikit Learn
Course programme
- Descriptive statistics
- Introduction to probability and Bayes theorem
- Probability distributions
- Hypothesis testing & scores
- Pandas for pre-Processing and Exploratory Data Analysis
- Numpy for Statistical Analysis
- Matplotlib & Seaborn for Data Visualization
- Scikit Learn
- How to treat Data in ML
- Types of Machine Learning
- Performance Measures
- Bias-Variance Trade-Off
- Overfitting & Underfitting
- Cost Function
- Learning Rate
- Optimization Techniques
- Case Study
- Logistic Regression
- Case Study
- KNN Classification
- Case Study
- Naive Bayesian classifiers
- Case Study
- SVM - Support Vector Machines
- Case Study
- K Means clustering
- Hierarchical clustering
- Case Study
- Case Study
- Introduction to Ensemble Learning
- Different Ensemble Learning Techniques
- Bagging
- Boosting
- Random Forests
- Case Study
- PCA (Principal Component Analysis) and Its Applications
- Case Study
- Types of Recommendation Techniques
- Collaborative Filtering
- Content based Filtering
- Hybrid RS
- Performance measurement
- Case Study
Machine learning with Python- LIVE VIRTUAL